dearwolf/LocalAI
1
0
Fork 0
mirror of https://github.com/mudler/LocalAI.git synced 2025-05-20 10:35:01 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 21

feat: add huggingface embeddings backend

Browse source 
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto 2023-07-20 22:10:42 +02:00
parent 94916749c5
commit 982a7e86a8
7 changed files with 529 additions and 8 deletions
Download patch file Download diff file Expand all files Collapse all files

100
api/api_test.go
View file

@ -386,6 +386,102 @@ var _ = Describe("API test", func() {
})
})
Context("External gRPCs", func() {
BeforeEach(func() {
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
c, cancel = context.WithCancel(context.Background())
app, err := App(
append(commonOpts,
options.WithContext(c),
options.WithAudioDir(tmpdir),
options.WithImageDir(tmpdir),
options.WithModelLoader(modelLoader),
options.WithBackendAssets(backendAssets),
options.WithExternalBackend("huggingface", os.Getenv("HUGGINGFACE_GRPC")),
options.WithBackendAssetsOutput(tmpdir))...,
)
Expect(err).ToNot(HaveOccurred())
go app.Listen("127.0.0.1:9090")
defaultConfig := openai.DefaultConfig("")
defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
// Wait for API to be ready
client = openai.NewClientWithConfig(defaultConfig)
Eventually(func() error {
_, err := client.ListModels(context.TODO())
return err
}, "2m").ShouldNot(HaveOccurred())
})
AfterEach(func() {
cancel()
app.Shutdown()
os.RemoveAll(tmpdir)
})
Context("API query", func() {
BeforeEach(func() {
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
c, cancel = context.WithCancel(context.Background())
var err error
app, err = App(
append(commonOpts,
options.WithDebug(true),
options.WithContext(c), options.WithModelLoader(modelLoader))...)
Expect(err).ToNot(HaveOccurred())
go app.Listen("127.0.0.1:9090")
defaultConfig := openai.DefaultConfig("")
defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
client2 = openaigo.NewClient("")
client2.BaseURL = defaultConfig.BaseURL
// Wait for API to be ready
client = openai.NewClientWithConfig(defaultConfig)
Eventually(func() error {
_, err := client.ListModels(context.TODO())
return err
}, "2m").ShouldNot(HaveOccurred())
})
AfterEach(func() {
cancel()
app.Shutdown()
})
It("calculate embeddings with huggingface", func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
resp, err := client.CreateEmbeddings(
context.Background(),
openai.EmbeddingRequest{
Model: openai.AdaCodeSearchCode,
Input: []string{"sun", "cat"},
},
)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))
sunEmbedding := resp.Data[0].Embedding
resp2, err := client.CreateEmbeddings(
context.Background(),
openai.EmbeddingRequest{
Model: openai.AdaCodeSearchCode,
Input: []string{"sun"},
},
)
Expect(err).ToNot(HaveOccurred())
Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
Expect(resp2.Data[0].Embedding).ToNot(Equal(resp.Data[1].Embedding))
})
})
})
Context("Model gallery", func() {
BeforeEach(func() {
var err error
@ -530,7 +626,7 @@ var _ = Describe("API test", func() {
It("returns the models list", func() {
models, err := client.ListModels(context.TODO())
Expect(err).ToNot(HaveOccurred())
Expect(len(models.Models)).To(Equal(10))
Expect(len(models.Models)).To(Equal(11))
})
It("can generate completions", func() {
resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
@ -707,7 +803,7 @@ var _ = Describe("API test", func() {
It("can generate chat completions from config file", func() {
models, err := client.ListModels(context.TODO())
Expect(err).ToNot(HaveOccurred())
Expect(len(models.Models)).To(Equal(12))
Expect(len(models.Models)).To(Equal(13))
})
It("can generate chat completions from config file", func() {
resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})